What are the responsibilities and job description for the Data Scientist position at Mercari?
Mercari is Your Marketplace. We make it super easy to sell (or buy) almost anything. We all have things we don’t use, never used or simply outgrew. But that stuff still has value. Mercari gives you the power to simply sell it, ship it, and earn some cash for it. Fashion to toys. Sporting goods to electronics. All the brands you know and love. Our mission is simple: to make selling easier than buying. And with 50M downloads in the U.S. and 350k new listings every day, we're just getting started.
Product Analytics is crucial to the success of each of our teams and enables each team to make the best data driven decisions on how to best help our millions of users. You will be an integral part of a product team as Data Scientist and guide the development of features from the initial prioritization all the way through final A|B testing. Through analysis and modeling of the quantitative data you, in close collaboration with the rest of the team, will uncover insights and develop strategies that will guide the development of the product. You ask and answer the “why?” of the product’s strategy.
What you’ll do:
- Perform deep dive analysis on the data and formulate product recommendations
- Develop the A|B testing plan, monitor the progress of all tests, and conduct the final evaluation of the statistically significant impact that the test had on the relevant KPI’s
- Establish the analytical framework for your team and take ownership of the reporting of the data to external stakeholders
- Analyze and model the behavior of users either statistically or with machine learned models
- Create dashboards to raise awareness of the metrics and user behavior for the rest of the team and external stakeholders
- Actively participate in the wider analytics community within Mercari and help us continually improve our decision making capabilities
What you’ll need:
- 5 years of product analytics experience
- 2 years of experience in Python
- BS or MS degree in computer science, mathematics, or a related field
- Deep understanding of the statistics that govern A|B testing
- Experience developing time series analysis
- Expert fluency in using SQL to extract data
- Strong skills in delivering easy-to-understand written and verbal presentations to a wide audience
Bonus Points:
- Experience with Big Query, Looker, and Jupyter Notebooks
- Experience developing unsupervised machine learning models
Why Mercari:
Small enough to make an impact but established enough to provide the stability you need to be successful, Mercari is the best of both worlds. At Mercari you are encouraged to take risks. And when you do, you can do it confidently, knowing you have a team and a company that supports you.
As we grow, your career opportunities with Mercari grow. As our teams expand, your responsibilities expand. Our teams are supported with access to new tools, technologies, and learning opportunities. We will never stop growing.
Total Rewards:
- Flexibility: Work remote from anywhere in the US and receive flexible time off
- Wellbeing: Top-notch insurance plans, best-in-class new parent offerings and access to mind and body wellness apps
- Growth: As we grow, your career opportunities grow, we provide access to new tools, technologies and learning opportunities
- Comprehensive and total rewards: We provide a strong financial foundation and rewards that go beyond the paycheck
- Teamwork: We are each other's biggest fans- we celebrate from virtual coffee breaks to recognition programs
Mercari is proud to be an Equal Opportunity Employer
Mercari prides itself on the diversity of its workforce. We do not discriminate on the basis of age, national origin, race, religion, marital status, veteran status, disability status, gender identity, sexual orientation, or any other class protected by applicable law.